Python for Environmental Research
About
This course provides lectures and homework exercises (as a collection of Jupyter Notebooks) designed to introduce students to computer programming in Python through the lens of environmental research. Students will develop a working knowledge of the Python programming language and learn how to formulate research questions as computer code. They will learn about a variety of Python-based packages and techniques that can be used to build models, analyze data, and create visualizations for research in environmental sciences, engineering, and health. We will take an applications-based approach, with new techniques applied to examples such as air quality monitoring, reservoir management, disease spread, power markets, and environmental justice.
| Type | Course |
|---|---|
| Level | Foundation |
| Topics |
Environmental Science FAIR Data python Jupyter Notebook public health water resources |
Registration is required to access materials.
Modules
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Introduction to Jupyter & Python
Module 1
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Basic data structures
Module 2
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Conditions, functions, & loops
Module 3
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Advanced data structures
Module 4
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Systems of equations & optimization
Module 5
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Data, visualization, & regression
Module 6
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Simulation, Monte Carlo, & time series
Module 7
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Geospatial analysis
Module 8
Instructor
